MODEL BASED AIR-FUEL RATIO CONTROL FOR PFI SI ENGINES FUELED WITH ETHANOL-GASOLINE BLENDS

2015 ◽  
Vol 14 (12) ◽  
pp. 2929-2937
Author(s):  
Feng Wu ◽  
Dongwei Yao ◽  
Xinchen Ling
Keyword(s):  
Fuel Ratio ◽  
Model Based ◽  
Si Engines

Model-Based Air-Fuel Ratio Control in SI Engines with a Switch-Type EGO Sensor

1994 ◽  
Author(s):  
Alois Amstutz ◽  
Nicholas P. Fekete ◽  
J. David Powell
Keyword(s):  
Fuel Ratio ◽  
Model Based ◽  
Switch Type ◽  
Si Engines

Model-Based Control for Air-Fuel Ratio of Natural Gas Fueled SI Engines

2014 ◽  
Author(s):  
Miroslaw Wendeker ◽  
Grzegorz Baranski ◽  
Pawel Magryta
Keyword(s):  
Natural Gas ◽  
Model Based Control ◽  
Fuel Ratio ◽  
Model Based ◽  
Si Engines ◽  
Gas Fueled

scholarly journals MULTIPLE ARX MODEL-BASED AIR-FUEL RATIO PREDICTIVE CONTROL FOR SI ENGINES

2007 ◽  
Vol 40 (21) ◽  
pp. 73-78
Author(s):  
Tomáš Polóni ◽  
Boris Rohal'-Ilkiv ◽  
Tor Arne Johansen
Keyword(s):  
Predictive Control ◽  
Arx Model ◽  
Fuel Ratio ◽  
Model Based ◽  
Si Engines

Predicting the Port Air Mass Flow of SI Engines in Air/Fuel Ratio Control Applications

2000 ◽  
Author(s):  
Alain Chevalier ◽  
Christian Winge Vigild ◽  
Elbert Hendricks
Keyword(s):  
Mass Flow ◽  
Control Applications ◽  
Air Mass ◽  
Fuel Ratio ◽  
Si Engines

Simulation of Air-Fuel Ratio Dynamics in SI Engines by Means of Recurrent Neural Networks

2004 ◽  
Vol 37 (22) ◽  
pp. 317-323
Author(s):  
Ivan Arsie ◽  
Cesare Pianese ◽  
Marco Sorrentino
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Fuel Ratio ◽  
Si Engines

Model-Based Combustion Duration and Ignition Timing Prediction for Combustion Phasing Control of a Spark-Ignition Engine Using In-Cylinder Pressure Sensors

2019 ◽  
Author(s):  
Xin Wang ◽  
Amir Khameneian ◽  
Paul Dice ◽  
Bo Chen ◽  
Mahdi Shahbakhti ◽  
...  
Keyword(s):  
Pressure Sensors ◽  
Spark Ignition ◽  
Operating Conditions ◽  
Spark Ignition Engine ◽  
Combustion Model ◽  
Ignition Timing ◽  
Model Based ◽  
Crank Angle ◽  
Si Engines ◽  
Phasing Control

Abstract Combustion phasing, which can be defined as the crank angle of fifty percent mass fraction burned (CA50), is one of the most important parameters affecting engine efficiency, torque output, and emissions. In homogeneous spark-ignition (SI) engines, ignition timing control algorithms are typically map-based with several multipliers, which requires significant calibration efforts. This work presents a framework of model-based ignition timing prediction using a computationally efficient control-oriented combustion model for the purpose of real-time combustion phasing control. Burn duration from ignition timing to CA50 (ΔθIGN-CA50) on an individual cylinder cycle-by-cycle basis is predicted by the combustion model developed in this work. The model is based on the physics of turbulent flame propagation in SI engines and contains the most important control parameters, including ignition timing, variable valve timing, air-fuel ratio, and engine load mostly affected by combination of the throttle opening position and the previous three parameters. With 64 test points used for model calibration, the developed combustion model is shown to cover wide engine operating conditions, thereby significantly reducing the calibration effort. A Root Mean Square Error (RMSE) of 1.7 Crank Angle Degrees (CAD) and correlation coefficient (R2) of 0.95 illustrates the accuracy of the calibrated model. On-road vehicle testing data is used to evaluate the performance of the developed model-based burn duration and ignition timing algorithm. When comparing the model predicted burn duration and ignition timing with experimental data, 83% of the prediction error falls within ±3 CAD.

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